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  • 學位論文

新巴塞爾資本協定下市場風險管理模型之研究 ~以台灣五十指數型基金為例

Build The Value of Risk Model on New Basel Capital Accord ~ A Example of TSEC Taiwan 50 Index

指導教授 : 李弘暉
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摘要


Basel II規定新的風險管理計算方式,包含:信用風險、市場風險、作業風險。因此,當我們在計算市場風險時,必須預測在99%信賴區間下明天最大可能損失。 本文將運用GARCH模型計算台灣五十指數型基金的風險值,運用GARCH預測下一期指數收盤價報酬的波動率與機率。 首先,用GARCH模型計算指數報酬的波動率;其次,運用波動率估計其風險值;再者,將預測的風險值與實際損失比較;最後,解釋實證結論。 實證結果顯示:GARCH模型能準確的估計風險值。

並列摘要


The new risk management rules regulated in the documents published by Basel II, consist of Market Risk, Credit Risk, and Operational Risk. Therefore, we must predict the maximum loss on 99% confidence interval tomorrow when we need to estimate Market Risk. This paper made use of GARCH model for Market Risk of TSEC Taiwan 50 Index, to forecast the volatility of index series for the next period and the probability associated with the closing price. In the first, I calculate the volatility of GARCH model in the return of index. In the second, it is presented the estimation of VaR associated with the volatility forecasted. In the third, it is compared with actuality loss. Finally in the last, there are the conclusions arrived. The empirical results prove that VaR can be estimated exactly right by GARCH model.

並列關鍵字

GARCH VaR (Value at Risk) Market Risk Basel II

參考文獻


[5] 沈中華(2003),「BaselⅡ的缺點及改進建議」,台灣金融財務季刊,第四輯第一期(92 年3 月),頁1~18。
[6] 劉炳麟(2002),「CARR 模型之實證研究~以台股指數為例」,中央大學財務金融研究所碩士論文。
[8] Bollerslev, T. (1986), “Generalized Autoregressive Conditional Heteroscedasticity”, Journal of Econometrics, 31, 307–327
[9] Jorion,P. (2002),“Fallacies about the effects of market risk management systems”,Financial Stability Review: December 2002,115~127.
[10] Angelidis,T.,A. Benos and S. Degiannakis,(2004),“The Use of GARCH Models in VaR Estimation”, Statistical Methodology, Vol. 1, No. 2, 105-128.

被引用紀錄


鄭堯中(2010)。GARCH Family於風險值評估與風險管理之應用-以台灣五十指數股票型基金為例〔碩士論文,國立臺北大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0023-3006201016480600

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